Computer Vision Syndrome (CVS) Risk Education for Employees of Public Company Jasa Tirta I Malang

Authors

  • Nikmatur Rosidah Universitas Muhammadiyah Malang, Indonesia
  • Bayu Prastowo Universitas Muhammadiyah Malang, Indonesia
  • Nur Halizah Rahma Dini Universitas Muhammadiyah Malang, Indonesia
  • Syabina Zahra Rienanda Universitas Muhammadiyah Malang, Indonesia
  • Donny Septian Wibisono Universitas Muhammadiyah Malang, Indonesia

DOI:

https://doi.org/10.70609/icom.v5i1.6092

Keywords:

Awkward posture, Eye refraction, Digital eye strain, Digital exposure, Occupational diseases

Abstract

Long-term exposure to digital screens is a main factor in the incidence of Computer Vision Syndrome (CVS). This phenomenon is due to the rapid use of computers, gadgets, and other electronic devices. This service aims to mapping and educating eye fatigue, irritation, dry eyes, and visual impairment as symptoms of Computer Vision Syndrome (CVS). This community service uses the Participatory Approach method on 60 participants at the Public Company Jasa Tirta I, Malang City. This service has been permitted through No.0007/UM/VP SDK/VII/2024. Education is carried out using Dale's Cone of Experience theory with a combination of lectures and stimulation. Participants generally experienced myopia refractive error. In addition, there was an increase in participant knowledge reaching 60.42%. These findings confirm that a service-based educational approach can be an effective method in addressing digital health issues

References

Adane, F., Alamneh, Y. M., & Desta, M. (2022). Computer vision syndrome and predictors among computer users in Ethiopia: a systematic review and meta-analysis. Tropical Medicine and Health, 50(1). https://doi.org/10.1186/s41182-022-00418-3

Anbesu, E. W., & Lema, A. K. (2023). Prevalence of computer vision syndrome: a systematic review and meta-analysis. Scientific Reports, 13(1), 1–9. https://doi.org/10.1038/s41598-023-28750-6

Binnquist, A. L., Dolbier, S. Y., Dieffenbach, M. C., & Lieberman, M. D. (2022). The Zoom solution: Promoting effective crossideological communication online. PLoS ONE, 17(7 July), 1–22. https://doi.org/10.1371/journal.pone.0270355

Das, S., Kalita, L., & Sarma, B. (2024). The Impact of Digital Devices on Visual Health: Addressing Digital Eye Strain and Blue Light Exposure. Journal of Population Therapeutics and Clinical Pharmacology, 31(7), 991–997. https://doi.org/10.53555/jptcp.v31i7.7185

Foreman, J., Salim, A. T., Praveen, A., Fonseka, D., Ting, D. S. W., Guang He, M., Bourne, R. R. A., Crowston, J., Wong, T. Y., & Dirani, M. (2021). Association between digital smart device use and myopia: a systematic review and meta-analysis. The Lancet Digital Health, 3(12), e806–e818. https://doi.org/10.1016/S2589-7500(21)00135-7

Gómez-Galán, M., Callejón-Ferre, Á. J., Pérez-Alonso, J., Díaz-Pérez, M., & Carrillo-Castrillo, J. A. (2020). Musculoskeletal risks: RULA bibliometric review. In International Journal of Environmental Research and Public Health (Vol. 17, Issue 12). https://doi.org/10.3390/ijerph17124354

Hakim, L. N. (2020). Urgensi Revisi Undang-Undang Kesejahteraan Lanjut Usia. Aspirasi: Jurnal Masalah-Masalah Sosial, 11(1), 43–55. https://doi.org/10.22212/aspirasi.v11i1.1589

Kim, T., & Lee, E. C. (2020). Experimental verification of objective visual fatigue measurement based on accurate pupil detection of infrared eye image and multi-feature analysis. Sensors (Switzerland), 20(17), 1–12. https://doi.org/10.3390/s20174814

Kurniawan, A. A., Tuhagana, A., & Yani, D. (2022). The Role of Digitalization and the Work Environment on the Performance of Employees of the Library and Archives Service. Jurnal Ekonomi, 11(02), 1043–1050.

Loilatu, M. F., Manery, D. E., Palembang, C. F., & Ukratalo, A. M. (2024). Hubungan Durasi Penggunaan Laptop dengan Keluhan Computer Vision Syndrome Pada Mahasiswa Fakultas MIPA Universitas Pattimura. Journal Of Social Science Research, 4(3), 2954–2964.

Nanjundeswaran, C., Jacobson, B. H., Gartner-Schmidt, J., & Verdolini Abbott, K. (2015). Vocal Fatigue Index (VFI): Development and Validation. Journal of Voice, 29(4), 433–440. https://doi.org/10.1016/j.jvoice.2014.09.012

Novianto. (2023). Systematic Literature Review: Models of digital transformation in the public sector. Policy & Governance Review, 7(2), 170. https://doi.org/10.30589/pgr.v7i2.753

Nurhikma, G., Setyowati, D. L., & Ramdan, I. M. (2022). Pengaruh Pemberian Metode 20-20-20 terhadap Penurunan Gejala Computer Vision Syndrome (CVS). Faletehan Health Journal, 9(3), 298–307. https://doi.org/10.33746/fhj.v9i3.437

Putri, D. W., & Mulyono, M. (2018). Hubungan Jarak Monitor, Durasi Penggunaan Komputer, Tampilan Layar Monitor, Dan Pencahayaan Dengan Keluhan Kelelahan Mata. The Indonesian Journal of Occupational Safety and Health, 7(1), 1. https://doi.org/10.20473/ijosh.v7i1.2018.1-10

Sugar, W., & Collyer, D. (2021). Reconsidering Dale’s Cone: Towards the Development of a 21st Century “Cone of Experience” to Address Social Justice Issues. The Journal of Applied Instructional Design, 1937, 63–78. https://doi.org/10.59668/329.5269

Sweileh, W. M. (2020). Bibliometric analysis of scientific publications on “sustainable development goals” with emphasis on “good health and well-being” goal (2015-2019). Globalization and Health, 16(1), 1–13. https://doi.org/10.1186/s12992-020-00602-2

Yuda, H. (2023). Pengaruh Durasi Penggunaan Gadget terhadap Kejadian Kelainan Refraksi Mahasiswa Universitas Ma Chung Malang. Jurnal Ilmiah Kesehatan Masyarakat Dan Sosial, 1(4), 19–30.

Zunaidi, A. (2024). Metodologi Pengabdian Kepada Masyarakat (U. S. Hidayatun (ed.); 1st ed.). Yayasan Putra Adi Dharma Desain.

Published

2025-03-04

How to Cite

Computer Vision Syndrome (CVS) Risk Education for Employees of Public Company Jasa Tirta I Malang. (2025). I-Com: Indonesian Community Journal, 5(1), 114-123. https://doi.org/10.70609/icom.v5i1.6092